Drivers Of Adoption Research Articles

Drivers of Blockchain Adoption in Dividend Distribution in the Nigerian Exchange Group

This research investigates the factors influencing the Adoption of Blockchain Technology for Dividend Distribution (ABT) within firms in the Nigerian context. Utilizing a survey-based approach with a sample of 182 respondents, the study employs a comprehensive set of predictors including Stakeholders' Perceptions (SP), Perceived Ease of Use (PEU), Perceived Usefulness (PU), Institutional Pressures (IP), and Regulatory Support (RS). Methodologically, the research addresses the issue of multicollinearity through Ridge Regression, offering a robust technique for more reliable estimates. Our findings reveal that SP, PEU, PU, and RS are significant positive drivers for ABT, while IP was not significant. Interestingly, the interaction of RS and SP was also significant, indicating a moderating effect. The research contributes to the theoretical landscape by highlighting the nuanced role of institutional and regulatory factors in technology adoption. On a practical level, the study suggests that policymakers, particularly the Securities and Exchange Commission (SEC) and the Nigerian Exchange Group (NGX), should reevaluate existing regulations to foster technology adoption. Moreover, stakeholders, such as the Association for the Advancement of the Rights of Nigerian Shareholders, should engage more in influencing positive perceptions. This study fills an important gap in the literature by being among the first to explore these dynamics within the African context, specifically focusing on dividend distribution.

Extending the reach of small-medium enterprises through new-age marketing technologies- drivers of adoption and its impact on business performance

Extending the reach of small-medium enterprises through new-age marketing technologies- drivers of adoption and its impact on business performance

Extending the reach of small-medium enterprises through new-age marketing technologies: drivers of adoption and their impact on business performance

Extending the reach of small-medium enterprises through new-age marketing technologies: drivers of adoption and their impact on business performance

Adoption drivers of organic vegetable farming practices among vegetable farmers in Oyo State, Nigeria

Abstract The practice of organic agriculture (OA) in Nigeria has undergone expansion due, among other things, to consumer interest in food safety issues. Organic Farming (OF) is a holistic production management system that promotes and enhances agro‑ecosystem health, including biodiversity, biological cycles, and soil biological activity. The study investigated adoption drivers for organic vegetable farming practices among vegetable farmers in Oyo State, Nigeria. A total of 120 organic vegetable farmers were sampled through a multistage sampling procedure, and survey questions were administered. Data were analysed using frequency counts, mean, and Ordinary Least Square (OLS). The majority of farmers had a good knowledge of Organic Vegetable Farming Practices (OVFP), which aids adoption and is a good signal for economic returns and sustainable livelihoods. The most rated of the three benefit domains was health, which averagely was rated high (x̅ = 1.38), while economic (x̅ = 1.04) and environmental conservation benefits (x̅ = 1.00) were both rated average; with enhanced good health and long life; reduced climate change effects, as well as generation of greenhouse gases and higher premiums in the marketplace identified as top health, environmental conservation, and economic benefits, respectively. Although the majority of farmers highly adopted OVFP, however, a closer examination of the few practices that the majority of the farmers did not adopt was of health and environmental significance. Farmers’ age, education, farm size, household size, knowledge, health, and economic benefits of OF were important drivers of adoption and practices of OF among Oyo State, Nigeria vegetable farmers. OF, therefore, is a sustainable agricultural approach that holds great potential for effectively contributing to local food security, the health of citizens, increased family health, and environmental standards.

Elevating Public Sector HR: A Comprehensive Exploration of E-HRM Adoption Drivers

This comprehensive study explores the intricacies of Electronic Human Resource Management (eHRM) adoption within public sector organizations. Focusing on adoption drivers, e-HRM typologies, and the evolving role of technology, the research uncovers diverse opportunities and challenges faced by government agencies in the digital era. The findings emphasize the potential of e-HRM to enhance both strategic HR functions and operational efficiency. The proposed conceptual model, incorporating organizational, political, legal, social, technological, economic, and environmental perspectives, provides a nuanced understanding of the complexities surrounding e-HRM adoption. By acknowledging the transformative influence of Artificial Intelligence (AI) on HR practices, the study underscores the interconnected nature of HRM effectiveness and organizational outcomes. In conclusion, this research contributes valuable insights for HR practitioners and decision-makers navigating the dynamic landscape of eHRM adoption in the public sector. It emphasizes that while e-HRM holds great potential for improving organizational functions; its effective deployment requires a customized strategy and a deep understanding of the organizational context. The discussion on technologydriven HR transformations is enriched by insights into the impact of AI on HR practices and the relationship between HRM effectiveness and organizational outcomes. This study serves as a foundation for informed decisionmaking, practical implications for HR practitioners, and a significant contribution to the ongoing conversation on the future of HR management in the public domain.

Digitalization and competitive advantage: Insights from manufacturing sector

The study explores the critical role of digitalization in enhancing the competitive advantage of Albanian manufacturing firms amidst a rapidly changing business environment (Guo et al., 2023). It examines various data sources to understand how digital transformation influences firm performance and strategies in Albania. The findings reveal that digitalization significantly boosts profitability, market share, and innovation in these firms, enabling a faster response to market shifts and customer needs. Key drivers for digital adoption in the Albanian manufacturing sector include market trends, competitive pressures, and technological advancements. However, challenges such as financial constraints, skill gaps in the workforce, and data security issues are also prevalent (Kalaj et al., 2022). The research concludes that digitalization is a strategic necessity for Albanian manufacturing firms aiming to establish themselves as industry leaders. By effectively leveraging digital technologies and overcoming related hurdles, these firms can excel in the global market. This condensed summary presents the essence of the original text, focusing on the main findings and conclusions of the research on digitalization in the Albanian manufacturing industry.

The Drivers of Green Practices Adoption in Air Cargo Carriers

The Drivers of Green Practices Adoption in Air Cargo Carriers

Analysis of Internet of things implementation barriers in the cold supply chain: An integrated ISM-MICMAC and DEMATEL approach.

Integrating Internet of Things (IoT) technology inside the cold supply chain can enhance transparency, efficiency, and quality, optimize operating procedures, and increase productivity. The integration of the IoT in this complicated setting is hindered by specific barriers that require thorough examination. Prominent barriers to IoT implementation in a cold supply chain, which is the main objective, are identified using a two-stage model. After reviewing the available literature on IoT implementation, 13 barriers were identified. The survey data were cross-validated for quality, and Cronbach's alpha test was employed to ensure validity. This study applies the interpretative structural modeling technique in the first phase to identify the main barriers. Among these barriers, "regulatory compliance" and "cold chain networks" are the key drivers of IoT adoption strategies. MICMAC's driving and dependence power element categorization helps evaluate barrier interactions. In the second phase of this study, a decision-making trial and evaluation laboratory methodology was employed to identify causal relationships between barriers and evaluate them according to their relative importance. Each cause is a potential drive, and if its efficiency can be enhanced, the system benefits as a whole. The findings provide industry stakeholders, governments, and organizations with significant drivers of IoT adoption to overcome these barriers and optimize the utilization of IoT technology to improve the effectiveness and reliability of the cold supply chain.

Drivers of Digital Transformation in SMEs

This study aims to identify and analyze factors determining the adoption of digital technologies in SMEs. Drawing on the technology–organization–environment framework, the study highlights enabling factors from three different contexts and hypothesizes their relationship with digital technology adoption. The data used were collected from 15 346 European Union and non-European Union SMEs to test an ordered logit regression model that highlights the factors associated with an increased level of digital technologies adoption in SMEs. The empirical results show that the technology context (IT infrastructure and digital tools) along with the existing level of innovation are the main drivers that act as stepping stones in digital technology adoption. Corporate regulation, available skills, and financial resources (as organizational variables) also play a significant role in the adoption decision. Unexpectedly, the influence of the environmental context is marginal. The implications of this study are emphasized for theory and practice, laying a foundation for further empirical studies in this field. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>Managerial relevance statement:</i> This article reviews the empirical research on digital technologies adoption and examines the drivers of such adoption in SMEs. The factors identified provide guidance for practitioners adopting digital technologies in SMEs, by suggesting they assess the readiness of their firms before investing in digital technology. This research helps advance the conversation on digitalization drivers especially by bringing the discussion into the organization boundaries, as our findings highlight the predominance of organizational drivers over the technological and environmental ones. SMEs have to overcome the challenges associated with constructing an IT infrastructure capable of implementing new technologies. Indeed, while striving to adopt new digital technologies (e.g., AI, big data, IoT), many SMEs are still unprepared. Therefore, rather than adopting mimetic behaviors based on external pressure, SMEs that aim for digitalization should first assess their existing technologies, and further develop a meticulous technological roadmap that includes skills upgrades and investments in upskilling employees’ capabilities. Therefore, developing a fully integrated strategic approach is crucial before the adoption of digital technologies

Determining the key drivers of FinTech adoption in India

Determining the key drivers of FinTech adoption in India

The Factors Influencing Continuous Intention to Adopt E-commerce Recommender System: The Mediating Role of Trust in Technology in Henan, China

The exponential growth of e-commerce in Henan, China necessitates a deeper understanding of the factors influencing the continuous intention to adopt recommender systems, a crucial tool in enhancing online shopping experiences. This research aims to fill a knowledge gap in the Chinese e-commerce landscape, specifically in Henan, by investigating the unique cultural, social, and economic factors shaping user behavior. Building on a comprehensive literature review, the study identifies cultural orientation, privacy concerns, and user experience as critical drivers of recommender system adoption. Trust in technology emerges as a mediating factor influencing users' continuous intention. The primary objectives are to investigate the factors impacting continuous intention to adopt recommender systems and examine the mediating role of trust in technology. The anticipated findings will not only contribute to the broader understanding of consumer behavior in a rapidly growing digital market but will also provide practical recommendations for businesses to optimize their recommender systems, ultimately fostering increased sales in the Henan’s e-commerce landscape.

Antecedents of adoption blockchain: Empirical study in Jordanian firms

The increasing popularity of intelligence systems in accounting and auditing domains has led to the interest towards drivers of blockchain technology adoption. Consequently, this empirical study inspected the antecedent constructs with direct and indirect impact on blockchain technology adoption in the accounting domain. Data were gathered from 346 accountants employed in Information technology (IT) companies, through an online survey. Structural equation modeling with Smart PLS 4 was employed for research model testing. Out of thirteen proposed direct hypotheses, twelve were accepted. Mainly, the obtained empirical results confirmed effort expectancy impacting blockchain technology adoption the most. Furthermore, the obtained results also confirmed the mediation role of effort expectancy and performance expectancy.

Determining the Inter-Relationship between Key Drivers of Fin-Tech Adoption Among Women Entrepreneurs in India

With a population of over 1.4 billion, nearly 48% of whom are women, India is the most populous nation on earth. These days, women are contributing significantly to each of the three economic areas. Despite making up 48% of the population, just 18% of the GDP is contributed by Indian women, according to a National Family Health Survey report. Nevertheless, women barely run 14% of Indian companies at this moment. According to the most recent census, 8.05 million (13.76%) of India’s women are entrepreneurs out of 58.5 million women. Amid the increasing number of start-ups, India is emerging as a global leader in entrepreneurial endeavours, mostly due to the noteworthy contribution of female entrepreneurs. India’s startup ecosystem has transformed, which is a testament to the tenacity and diligence of the women who are rewriting the nation’s entrepreneurial history. Fin-tech start-ups in India have made it easier for women to access financial resources while educating them about money management. Despite India’s booming fin-tech industry, a gender gap persists in its adoption by women entrepreneurs. This research paper aims at establishing the inter-relationship between the key drivers influencing fin-tech use among women entrepreneurs in India. The paper discusses how factors like Financial Literacy, Financial Access, Socio-Cultural Factors, Regulatory Factors, Technology Factors and Psychological Factors affect women entrepreneurs’ decisions to adopt fin-tech solutions. It offers suggestions to policymakers and the government for addressing the financing gap for female entrepreneurs.

Investigating factors affecting the development of contract farming. Case study: tomatoes in Kermanshah Province.

The escalating demands of a growing population and rising living standards strain the efficiency of traditional agricultural methods in fulfilling consumer nutritional needs. Technological advancements, particularly the introduction of contract farming models, offer a potential path towards addressing these challenges. However, in Iran, contract farming remains an underdeveloped and under-researched agricultural practice. This study delves into the factors influencing the development of contract farming in Iran. Employing a two-level multinomial logit model and data collected through 380 questionnaires administered to farmers in the Kermanshah region, the research reveals income (measured by the number of employed household members) as the primary driver of contract farming adoption. Additionally, factors such as reduced agricultural risk, higher education levels among farmers, improved product sales prices, and proximity to processing facilities positively impact the expansion of contract farming. Interestingly, "push factors" like land scarcity significantly influence non-contract farming participation, with 30.8% of surveyed households relying on these alternative methods. Geographical factors also contribute, explaining 23% of the observed variance in farming activity choices. These findings inform key policy interventions for sustainable contract farming development in Iran: robust legal frameworks and transparent contracts, contract-specific insurance schemes, training for agricultural extension workers, and farmer awareness campaigns.

Developing a Model to Improve the Efficiency of Maintenance Management for Service Buildings Using BIM and Power BI: A Case Study

Developing a Model to Improve the Efficiency of Maintenance Management for Service Buildings Using BIM and Power BI: A Case Study

Unravelling e-governance adoption drivers: insights from the UTAUT 3 model

Unravelling e-governance adoption drivers: insights from the UTAUT 3 model

E-Commerce Adoption: Enablers within Small and Medium–Sized Enterprises in Punjab

The purpose of this research is to examine the influence of e-commerce on Small and Medium–Medium-sized enterprises in Punjab a province of Pakistan. There is resistance to the adoption of e-commerce in certain parts of underdeveloped countries, even though the most successful companies have adopted e-commerce and gained increasing success. This study describes the drivers for e-commerce adoption and investigates the benefits obtained by the companies when they adopt e-commerce. The targeted population for the study was the Small and Medium Sized Companies registered in the Lahore District of Punjab province of Pakistan. The Study selected 400 SMEs in the Lahore District. A structured adapted questionnaire was used to collect the data. The quantitative approach was adopted. Seven dimensions namely ecommerce adoption, top management support, perceived benefits, adoption cost, payment mode/type government support and technology awareness and knowledge were measured by using the Likert scale measurement items, acknowledging the previous studies. The results revealed that top management support, perceived benefits, adoption cost, payment mode/type and technology awareness and knowledge had a significant positive influence on e-commerce adoption within SMEs while government support had a negative influence on e-commerce adoption.

Drivers of electric vehicle adoption: the moderating role of technological innovativeness

PurposeThis research examines the drivers of electric vehicle (EV) acceptance in the Kingdom of Saudi Arabia (KSA) by applying the unified theory of acceptance and use of technology (UTAUT) model, contextualized for the EV setting. The study aims to provide insights supporting the transition to sustainable transportation and identifying consumer perceptions and behavioral intentions toward EV adoption.Design/methodology/approachBased on survey data from a convenience sample collected from undergraduate and MBA students in a major university of KSA, the authors use seemingly unrelated regressions to provide novel insights on electric vehicle acceptance.FindingsThe study shows UTAUT constructs influence purchase intentions and attitudinal outcomes. Results indicate that perceived EV sustainability plays an important role in the relationship between UTAUT constructs and purchase intention alongside attitudes toward EV technology. Technological innovativeness enhances the impact of EV attitude and weakens the effect of perceived EV sustainability on purchase intention.Research limitations/implicationsThe study benefits researchers on sustainable technology acceptance and stakeholders facilitating sustainable transportation shifts. The insights guide the promotion of eco-friendly transportation solutions.Originality/valueThe research contextualizes and extends the UTAUT model constructs to understand drivers of EV acceptance. The study contributes to understanding sustainable innovation acceptance, considering the mediating role of perceptions of EV sustainability and the moderating role of technological innovativeness in driving purchase intentions.

Going green? On the drivers of individuals' green bank adoption

AbstractIn a context where individuals are increasingly more sensitive to corporate social responsibility (CSR) practices and where mobilization of savings for the energy transition is essential, our article is the first to study the drivers of online green bank adoption. By analyzing 1075 questionnaires from a panel of French individuals in charge of financial decisions in their households, we show that altruism and green consumption values are significant drivers of individuals' green banking adoption and reveal that willingness to adopt a green bank is mediated by the preference for green savings. These results extend the nascent literature dealing with the link between responsible consumption and saving behaviors. Briefly speaking, green banks (and associated savings products) have the potential to enable households to express their consumption values through their investments. That said, our results suggest that households' financial well‐being and financial literacy can be barriers to the mobilization of green savings. Our results also demonstrate the significant influence of information system variables, such as personal innovativeness and trust, on willingness to adopt green banking. By shedding light on the drivers of individuals' green bank adoption, our results provide valuable insights for the banking industry.

Analyzing ChatGPT adoption drivers with the TOEK framework

With the rapid advancements in AI technology and its growing impact on various aspects of daily life, understanding the factors that influence users' adoption intention becomes essential. This study focuses on the determinants affecting the adoption intention of ChatGPT, an AI-driven language model, among university students. The research extends the Technology-Organization-Environment (TOE) framework by integrating the concept of knowledge application. A cross-sectional research design was employed, gathering data through a survey conducted to university students. Structural equation modeling was used to analyze the data, aimed at examining the relationships between key determinants influencing adoption intention. The findings of this research indicate that factors such as network quality, accessibility, and system responsiveness contribute to satisfaction. Furthermore, satisfaction, organizational culture, social influence, and knowledge application significantly affect adoption intention. These findings offer both theoretical and practical implications.